Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Epidemiology for Public Health
Spezialisierung Epidemiology for Public HealthImperial College LondonÜber diesen Kurs
A background in health sciences or/and quantitative methods would be useful, but not essential.
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Identify different types of biases that may occur in epidemiological studies, in order to apply strategies to reduce such biases.
Kompetenzen, die Sie erwerben
- Validity
- Interaction (Statistics)
- Information bias
- Confounding
- Selection Bias
A background in health sciences or/and quantitative methods would be useful, but not essential.
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Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.
Lehrplan - Was Sie in diesem Kurs lernen werden
Module 1: Introduction to Validity and Bias
MODULE 2: Confounding
MODULE 3: Dealing with Confounding
MODULE 4: Effect Modification
Bewertungen
- 5 stars91,90 %
- 4 stars7,61 %
- 3 stars0,47 %
Top-Bewertungen von VALIDITY AND BIAS IN EPIDEMIOLOGY
Great course and great specialisation. Looking forward to the next two!
Very useful course mainly for understanding how to design correctly a study but also during analysis phase. It makes you reflect on aspects you might not consider by default. Fully recommended.
Another great course from ICL! The course project in week 2 was very helpful: it solidified the concept of how to check for confounding. I highly recommend this course.
Good course for a basic understanding of epidemiological concepts that are generally hard to grasp.. Highly recommended for healthcare professionals.
Über den Spezialisierung Epidemiology for Public Health
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